Nyquist Theorem is The sample rate is the number of times the sample is taken.In order for a computer to work with audio waves, they must be converted from analog to digital form.For lossless digitization, the sampling rate should be at least twice the maximum frequency response.The higher the sample rate, the more samples that are taken and, thus, the better the quality of the digitized audio

The Nyquist Theorem, also known as the Nyquist-Shannon sampling theorem, is a fundamental principle in the field of information theory. It states that a signal must be sampled at least twice its highest frequency in order to be accurately represented in digital form.

Here's a step-by-step explanation:

1. The first step in digitizing an audio signal is to sample it. This means taking measurements of the signal at regular intervals. The number of samples taken per second is called the sample rate.

2. According to the Nyquist Theorem, the sample rate must be at least twice the highest frequency contained in the signal. This is known as the Nyquist rate. If the sample rate is less than the Nyquist rate, the signal cannot be accurately represented and information will be lost. This loss of information is known as aliasing.

3. The higher the sample rate, the more samples are taken and the better the quality of the digitized audio. However, higher sample rates also require more storage space and processing power.

4. Once the signal has been sampled, it can be converted into a digital format that can be processed by a computer. This involves quantizing the samples, or assigning them numerical values, and encoding them in binary form.

5. The digitized signal can then be stored, processed, or transmitted as required. It can also be converted back into an analog signal for playback.

In summary, the Nyquist Theorem is a key principle in digital audio that ensures the accurate representation of analog signals in digital form.